The phrase "able to handle complex" is correct and usable in written English.
It can be used when describing someone's capability to manage or deal with complex tasks, situations, or problems.
Example: "She is able to handle complex projects with ease, demonstrating her exceptional problem-solving skills."
Alternatives: "capable of managing intricate" or "skilled at dealing with complicated".
If Spritz is going be used as a novel-reading tool, then the technology needs to be able to handle complex, nuanced writing.
Merchandising optimization systems are able to handle complex forecasting because they use nonlinear analytical techniques, which more closely mirror what happens in the real world.
Finally, the developed element is shown to be able to handle complex problems involving stress singularities more efficiently as compared to some widely used lower-order finite elements.
This type of formulation, with a high-order spatial discretization and an implicit and adaptive time discretization, have been shown to be able to handle complex interactions between particles with high accuracy.
Unlike previous approaches, the algorithm does not rely upon range information and yet is able to handle complex environments irrespective of lighting conditions, reflections, wall or door color, or the relative orientation between the camera and the door.
With the combination of the two approaches it is thus possible to model the wave field from low frequencies, where the FE method is computationally economical and able to handle complex geometries, to high frequencies, where advantage increasingly lies with ray tracing and the Green's function method.
Our results also illustrate that all the tested algorithms need to be improved to be able to handle the "complex" families (duplication/losses, complex domain architectures).
The symbolic approach we propose is able to compute the infinitely visited states for large multicellular Qualitative networks and to handle complex models.
"As there are now many agents that learn very simple tasks, instead of just one agent that learns a very complex task". The researchers believe that breaking up complex problems into simpler, smaller problems can make it much easier for deep learning systems to be able to handle more complex behavior.
One of the biggest challenges of any control paradigm is being able to handle large complex systems under unforeseen situations.
One of the biggest challenges of any control paradigm is being able to handle large complex systems under unforeseen uncertainties.
